Academic Access Data Analysis for Literature Recommendation

2017 ◽  
pp. 42-54
Author(s):  
Yixing Fan ◽  
Jiafeng Guo ◽  
Yanyan Lan ◽  
Jun Xu ◽  
Xueqi Cheng
Keyword(s):  
Data Analysis ◽  
Access Data

scholarly journals Publishing Scholarly Editions

2021 ◽  
Author(s):  
Christopher Ohge
Keyword(s):  
Nineteenth Century ◽  
Data Analysis ◽  
Open Access ◽  
Publishing Industry ◽  
Data Modelling ◽  
Open Access Data ◽  
Billy Budd ◽  
Data Collections ◽  
Conclusion Section ◽  
Access Data

Publishing Scholarly Editions offers new intellectual tools for publishing digital editions that bring readers closer to the experimental practices of literature, editing, and reading. After the Introduction (Section 1), Sections 2 and 3 frame intentionality and data analysis as intersubjective, interrelated, and illustrative of experience-as-experimentation. These ideas are demonstrated in two editorial exhibitions of nineteenth-century works: Herman Melville's Billy Budd, Sailor, and the anti-slavery anthology The Bow in the Cloud, edited by Mary Anne Rawson. Section 4 uses pragmatism to rethink editorial principles and data modelling, arguing for a broader conception of the edition rooted in data collections and multimedia experience. The Conclusion (Section 5) draws attention to the challenges of publishing digital editions, and why digital editions have failed to be supported by the publishing industry. If publications are conceived as pragmatic inventions based on reliable, open-access data collections, then editing can embrace the critical, aesthetic, and experimental affordances of editions of experience.

Identifying Technical Requirements for a Mobile Business Analytics Application

2021 ◽  
Vol 8 (4) ◽  
pp. 91-103
Author(s):  
Tuncay Bayrak
Keyword(s):  
Data Analysis ◽  
Mobile Devices ◽  
Data Visualization ◽  
Business Analytics ◽  
Mobile Business ◽  
Security Issues ◽  
Technical Requirements ◽  
Desktop Computers ◽  
Access Data

This study identifies various technical requirements for business analytics applications designed and optimized for mobile devices. Such applications would enable the mobile workforce to gain business insights regardless of their physical locations. In order for the mobile workforce to be efficient and effective, they need to be able to use the browsers and applications designed specifically for the mobile devices to access data, similar to desktop computers. Based on the research, such factors as online and off-line data analysis capabilities, data visualization capabilities, and security issues appear to be important factors to be addressed carefully by developers.

scholarly journals Access Data Analysis Technology and Implementation of Electric Power Big Data Achievement Sharing Platform through Artificial Intelligence

2021 ◽  
Vol 2083 (3) ◽  
pp. 032065
Author(s):  
Wang Qian ◽  
Mi Na ◽  
Yi Zenan ◽  
Sun Ming Yue ◽  
Liu Qing
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analysis ◽  
Smart Grid ◽  
Electric Power ◽  
Rapid Development ◽  
Recognition System ◽  
Power Industry ◽  
Intelligent Analysis ◽  
Access Data

Abstract With the rapid development of the information age, the data generated by all walks of life is showing an increasing trend of “blowout”. According to statistics, the total amount of data generated by mankind in the past 40,000 years is less than the total amount of data generated from 2010 to 2013 alone. The global big data reserves reached 8.61ZB in 2015 alone, and the growth of data in the future will reach an unpredictable value, entering the data age in an all-round way. Traditional power data computing technology and intelligent analysis technology are undergoing profound changes, and emerging big data intelligent analysis platforms are gradually emerging. With the in-depth development of power informatization and the concept of smart grid, the power industry data has grown exponentially, and the business demand for intelligent analysis of large amounts of power data is increasing day by day. Therefore, the access data analysis technology and realization of the power big data achievement sharing platform based on AI is of great significance. The AI-based power big data achievement sharing platform constructed in this article is a research on previous data analysis, and it aims to use the current cutting-edge artificial intelligence technology to build a scalable and highly available power big data analysis and processing platform to provide fast and reliable smart data services for the power industry, smart grid and other grid businesses. Research has shown that the overall availability of the ultrasonic partial discharge recognition system of the artificial intelligence-based electric power big data achievement sharing platform is 99.9967%, which meets the high availability index requirements, and verified that the artificial intelligence-based power big data achievement sharing platform provides highly available computing, storage and other services for its applications.

scholarly journals Information System Design for Tadarus Madrasah Ibtidaiyah (MI) Darul Ulum Kintap Webbased

2021 ◽  
Vol 1 (1) ◽  
pp. 26-36
Author(s):  
Suci Febriani ◽  
Herpendi ◽  
Muhammad Noor
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Black Box ◽  
Research Data ◽  
Learning To Read ◽  
Information System Design ◽  
Technological Developments ◽  
New Students ◽  
Access Data ◽  
Formal School

Madrasah is a place of study or formal school equivalent to elementary school, but at madrasah there will be more to learn about Islam, especially learning to read the Koran. Madrasah Ibtidaiyah (MI) Kintap uses the at-tanzil method in the process of learning the Qur'an, with the aim that students can understand more quickly about tajwid and the law of reading the Quran. MI Darul Ulum Kintap will provide a notebook of the achievements of the students so that parents can monitor the extent to which the students have learned. The problem that exists in recording the student's achievement using a note book is the negligence of the students in maintaining the achievement record book, so that it can make it difficult for parents and teachers to monitor the learning process of the students. To overcome this problem, the authors take advantage of technological developments by building a system that can be used to access data on student achievement in real time. This research also adds a feature to register new students, so that parents can register their children online. In this research, data analysis uses the method waterfall. The results of the research that has been carried out are that all features or functions of the system built have run well according to their function by testing the functionality of the system using the method black-box.

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

2020 ◽  
Vol 5 (1) ◽  
pp. 290-303
Author(s):  
P. Charlie Buckley ◽  
Kimberly A. Murza ◽  
Tami Cassel
Keyword(s):  
Data Analysis ◽  
Professional Learning ◽  
Social Communication ◽  
Special Educators ◽  
Service Providers ◽  
Integrative Approach ◽  
Theory Approach ◽  
Learning Program ◽  
Speech Language Pathologists ◽  
Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

Communicative Performance of Adolescents with Severe Speech Impairment

1989 ◽  
Vol 54 (3) ◽  
pp. 403-421 ◽  
Author(s):  
Beth M. Dalton ◽  
Jan L. Bedrosian
Keyword(s):  
Data Analysis ◽  
Peer Interactions ◽  
Consistent Pattern ◽  
Clinical Implications ◽  
Speech Impairment ◽  
Communication Mode ◽  
Mode Function ◽  
Communicative Performance ◽  
Therapy Room ◽  
Communication Board

The communicative performance of 4 preoperational-level adolescents, using limited speech, gestures, and communication board techniques, was examined in a two-part investigation. In Part 1, each subject participated in an academic interaction with a teacher in a therapy room. Data were transcribed and coded for communication mode, function, and role. Two subjects were found to predominantly use the speech mode, while the remaining 2 predominantly used board and one other mode. The majority of productions consisted of responses to requests, and the initiator role was infrequently occupied. These findings were similar to those reported in previous investigations conducted in classroom settings. In Part 2, another examination of the communicative performance of these subjects was conducted in spontaneous interactions involving speaking and nonspeaking peers in a therapy room. Using the same data analysis procedures, gesture and speech modes predominated for 3 of the subjects in the nonspeaking peer interactions. The remaining subject exhibited minimal interaction. No consistent pattern of mode usage was exhibited across the speaking peer interactions. In the nonspeaking peer interactions, requests predominated. In contrast, a variety of communication functions was exhibited in the speaking peer interactions. Both the initiator and the maintainer roles were occupied in the majority of interactions. Pertinent variables and clinical implications are discussed.

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